no code implementations • 4 Nov 2021 • Kevin Eloff, Okko Räsänen, Herman A. Engelbrecht, Arnu Pretorius, Herman Kamper
Multi-agent reinforcement learning has been used as an effective means to study emergent communication between agents, yet little focus has been given to continuous acoustic communication.
1 code implementation • 20 Jul 2021 • Kevin Eloff, Herman A. Engelbrecht
We test the ability of reinforcement learning agents to effectively communicate through discrete word-level symbols and show that the agents are able to sufficiently communicate through natural language with a limited vocabulary.
2 code implementations • 22 Feb 2021 • Benjamin Evans, Hendrik W. Jordaan, Herman A. Engelbrecht
We approach the autonomous racing problem with the added constraint of not maintaining an updated obstacle map of the environment.
Robotics
no code implementations • 28 Mar 2020 • Petri-Johan Last, Herman A. Engelbrecht, Herman Kamper
Dynamic programming is then used to align the feature frames between each word pair, serving as weak top-down supervision for the two models.
1 code implementation • 11 Dec 2019 • André Nortje, Willie Brink, Herman A. Engelbrecht, Herman Kamper
We propose the Binary Inpainting Network (BINet), an autoencoder framework which incorporates binary inpainting to reinstate interdependencies between adjacent patches, for improved patch-based compression of still images.
1 code implementation • 11 Dec 2019 • André Nortje, Herman A. Engelbrecht, Herman Kamper
Standard video codecs rely on optical flow to guide inter-frame prediction: pixels from reference frames are moved via motion vectors to predict target video frames.
2 code implementations • 9 Nov 2018 • Ryan Eloff, Herman A. Engelbrecht, Herman Kamper
Imagine a robot is shown new concepts visually together with spoken tags, e. g. "milk", "eggs", "butter".